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Experimental Based, Agent Based Stock Market

Author

Listed:
  • Grazzini, J.

    (University of Turin)

Abstract

This paper builds an agent based model to reproduce the results of an experimental stock market that studies how the market aggregates private information. The aim is to contribute to the relationship between experiments and agent-based modeling and to understand the behavior of the agents. Using the experimental environment and results, it is possible to formulate a hypothesis about the behavior of the subjects and thereby formalize (algorithmically) the behavior of the traders. This allows a better understanding of how the market converges toward the equilibrium and the mechanism that allows for the dissemination of private information in the market.

Suggested Citation

  • Grazzini, J., 2011. "Experimental Based, Agent Based Stock Market," CeNDEF Working Papers 11-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    • Handle: RePEc:ams:ndfwpp:11-07
    as

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    References listed on IDEAS

    as
    1. Plott, Charles R & Sunder, Shyam, 1982. "Efficiency of Experimental Security Markets with Insider Information: An Application of Rational-Expectations Models," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 663-698, August.
    2. Steven Gjerstad & Jason M. Shachat, 2007. "Individual Rationality and Market Efficiency," Purdue University Economics Working Papers 1204, Purdue University, Department of Economics.
    3. Lei, Vivian & Noussair, Charles N & Plott, Charles R, 2001. "Nonspeculative Bubbles in Experimental Asset Markets: Lack of Common Knowledge of Rationality vs. Actual Irrationality," Econometrica, Econometric Society, vol. 69(4), pages 831-859, July.
    4. Gode, Dhananjay K & Sunder, Shyam, 1993. "Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-137, February.
    5. Riccardo Boero & Giangiacomo Bravo & Marco Castellani & Flaminio Squazzoni, 2010. "Why Bother with What Others Tell You? An Experimental Data-Driven Agent-Based Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(3), pages 1-6.
    6. Noussair, C. & Robin, S. & Ruffieux, B., 1998. "Bubbles and Anti-Crashes in Laboratory Asset Markets with Constant Fundamental Values," Purdue University Economics Working Papers 1119, Purdue University, Department of Economics.
    7. Forsythe, Robert & Lundholm, Russell, 1990. "Information Aggregation in an Experimental Market," Econometrica, Econometric Society, vol. 58(2), pages 309-347, March.
    8. Jakob Grazzini, 2011. "Consistent Estimation of Agent Based Models," LABORatorio R. Revelli Working Papers Series 110, LABORatorio R. Revelli, Centre for Employment Studies.
    9. Bruno Contini & Roberto Leombruni & Matteo Richiardi, 2006. "Exploring a New ExpAce: The Complementarities between Experimental Economics and Agent-based Computational Economics," LABORatorio R. Revelli Working Papers Series 45, LABORatorio R. Revelli, Centre for Employment Studies.
    10. Martin Barner & Francesco Feri & Charles R. Plott, 2005. "On the microstructure of price determination and information aggregation with sequential and asymmetric information arrival in an experimental asset market," Annals of Finance, Springer, vol. 1(1), pages 73-107, January.
    11. Mikhail Anufriev & Cars Hommes & Raoul Philipse, 2013. "Evolutionary selection of expectations in positive and negative feedback markets," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 663-688, July.
    12. John Duffy & M. Utku Unver, 2002. "Asset Price Bubbles and Crashes With Zero--Intelligence Traders," Computing in Economics and Finance 2002 39, Society for Computational Economics.
    13. Plott, Charles R & Sunder, Shyam, 1988. "Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets," Econometrica, Econometric Society, vol. 56(5), pages 1085-1118, September.
    14. Charles Noussair & Stephane Robin & Bernard Ruffieux, 2001. "Price Bubbles in Laboratory Asset Markets with Constant Fundamental Values," Experimental Economics, Springer;Economic Science Association, vol. 4(1), pages 87-105, June.
    15. Gjerstad, Steven & Dickhaut, John, 1998. "Price Formation in Double Auctions," Games and Economic Behavior, Elsevier, vol. 22(1), pages 1-29, January.
    16. Hommes, Cars, 2011. "The heterogeneous expectations hypothesis: Some evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 1-24, January.
    17. Mark van Boening & Vernon L. Smith & Charissa P. Wellford, 2000. "Dividend timing and behavior in laboratory asset markets," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 16(3), pages 567-583.
    18. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, December.
    19. Smith, Vernon L & Suchanek, Gerry L & Williams, Arlington W, 1988. "Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets," Econometrica, Econometric Society, vol. 56(5), pages 1119-1151, September.
    20. Gneezy, U., 1996. "Probability Judgements in Multi-Stage Problems : Experimental Evidence of Systematic Biases," Other publications TiSEM e4424aaf-139b-44a5-8561-4, Tilburg University, School of Economics and Management.
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